where \(Agg:\lbrace 0, 1\rbrace ^{c\times n}\rightarrow \lbrace 0, 1\rbrace ^c\)  is the aggregation function, and \(\rho \)  is the learning rate of the central server. In our proposed scheme, the server performs the FedAvg [1]} aggregation algorithm for this which is defined as
\(FedAvg(\lbrace L_j^0, L_j^1, \cdots ,L_j^{n-1} \rbrace )=\frac{1}{\sum _{i=1}^n q^i}\sum _{i=1}^n q^i L_j^i ,\) 
